Lead distributed systems engineering at Cerebras Systems, building Kubernetes-based inference infrastructure for globally distributed AI workloads.

As a Staff Engineer on the Inference Platform team, you will own orchestration connecting cloud components with machine learning services. You will design production software, guide architecture, and address unsolved platform challenges. The work spans Kubernetes custom resource definitions, security policies, CI/CD, observability, networking, and reliability. Cerebras builds AI hardware designed for high-speed training and inference.

Key Responsibilities

Design, develop, test, and maintain production software

Shape platform architecture, service boundaries, and technical roadmaps

Architect active-active systems with failover and graceful degradation

Lead production incidents,



capacity planning, and post-incident improvements

Influence engineering decisions through reviews, pairing, and standards

Requirements

Eight or more years of software engineering experience

Experience operating large-scale distributed systems or cloud infrastructure

Deep distributed systems expertise, ideally with Kubernetes

Proficiency in Go or C++ production development

Experience with TLS, mTLS, observability, and SLO-driven operations

Bring distributed systems judgment, Kubernetes expertise, and production engineering skills to Cerebras Systems’ Inference Platform team.

📌 Staff Distributed Systems Engineer (Winnipeg)
🏢 Cerebras
📍 Winnipeg